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Barkha Javed, Zaheer Khan and Richard McClatchey
Government policies aim to address public issues and problems and therefore play a pivotal role in people?s lives. The creation of public policies, however, is complex given the perspective of large and diverse stakeholders? involvement, considerable hum...
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Jorge Hewstone and Roberto Araya
Audio recording in classrooms is a common practice in educational research, with applications ranging from detecting classroom activities to analyzing student behavior. Previous research has employed neural networks for classroom activity detection and s...
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Mikhail Zotov, Dmitry Anzhiganov, Aleksandr Kryazhenkov, Dario Barghini, Matteo Battisti, Alexander Belov, Mario Bertaina, Marta Bianciotto, Francesca Bisconti, Carl Blaksley, Sylvie Blin, Giorgio Cambiè, Francesca Capel, Marco Casolino, Toshikazu Ebisuzaki, Johannes Eser, Francesco Fenu, Massimo Alberto Franceschi, Alessio Golzio, Philippe Gorodetzky, Fumiyoshi Kajino, Hiroshi Kasuga, Pavel Klimov, Massimiliano Manfrin, Laura Marcelli, Hiroko Miyamoto, Alexey Murashov, Tommaso Napolitano, Hiroshi Ohmori, Angela Olinto, Etienne Parizot, Piergiorgio Picozza, Lech Wiktor Piotrowski, Zbigniew Plebaniak, Guillaume Prévôt, Enzo Reali, Marco Ricci, Giulia Romoli, Naoto Sakaki, Kenji Shinozaki, Christophe De La Taille, Yoshiyuki Takizawa, Michal Vrábel and Lawrence WienckeaddShow full author listremoveHide full author list
Mini-EUSO is a wide-angle fluorescence telescope that registers ultraviolet (UV) radiation in the nocturnal atmosphere of Earth from the International Space Station. Meteors are among multiple phenomena that manifest themselves not only in the visible ra...
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Nazmus Saqib, Khandaker Foysal Haque, Venkata Prasanth Yanambaka and Ahmed Abdelgawad
Neural networks have made big strides in image classification. Convolutional neural networks (CNN) work successfully to run neural networks on direct images. Handwritten character recognition (HCR) is now a very powerful tool to detect traffic signals, t...
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Chenjing Tian, Huadong Du, Pinglv Yang, Zeming Zhou and Libin Weng
The auroral ovals around the Earth?s magnetic poles are produced by the collisions between energetic particles precipitating from solar wind and atoms or molecules in the upper atmosphere. The morphology of auroral oval acts as an important mirror reflec...
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Naveen Kumar Mahanti, Subir Kumar Chakraborty, V. Bhushana Babu
Pág. Page:146 - 153Abstrac
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Ci Liang, Mohamed Ghazel, Olivier Cazier, El-Miloudi El-Koursi
Pág. 2167 - 2181
Safety is a core issue in railway operation. In particular, Level Crossing (LX) safety is one of the most critical issues that railway stakeholders need to deal with. Accidents at European LXs account for about one-third of the entire railway accidents. ...
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Der-Chang Lo, Chih-Chiang Wei and En-Ping Tsai
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Der-Chang Lo, Chih-Chiang Wei and En-Ping Tsai
This paper presents artificial neural network (ANN)-based models for forecasting precipitation, in which the training parameters are adjusted using a parameter automatic calibration (PAC) approach. A classical ANN-based model, the multilayer perceptron (...
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Ugne Orinaite, Vilte Karaliute, Mayur Pal and Minvydas Ragulskis
This paper presents the development of an underwater crack detection system for structural integrity assessment of submerged structures, such as offshore oil and gas installations, underwater pipelines, underwater foundations for bridges, dams, etc. Our ...
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Daniel H. Biedermann, Carolin Torchiani, Peter M. Kielar, David Willems, ... André Borrmann
Pág. 350 - 363
Organizers of large events have to ensure efficient mobility to guarantee a smooth and secure event course. Traffic and crowd simulations help to predict weak spots on the event's infrastructure. Thus, we propose a hybrid and multiscale approach to provi...
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Ogbaje Andrew, Armando Apan, Dev Raj Paudyal and Kithsiri Perera
The accuracy of most SAR-based flood classification and segmentation derived from semi-automated algorithms is often limited due to complicated radar backscatter. However, deep learning techniques, now widely applied in image classifications, have demons...
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Andrea Gatto, Valeria Aloisi, Gabriele Accarino, Francesco Immorlano, Marco Chiarelli and Giovanni Aloisio
Since December 2019, the novel coronavirus disease (COVID-19) has had a considerable impact on the health and socio-economic fabric of Italy. The effective reproduction number Rt is one of the most representative indicators of the contagion status as it ...
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Priti Girohi and Ashutosh Bhardwaj
Interferometry Synthetic Aperture Radar (InSAR) is an advanced remote sensing technique for studying the earth?s surface topography and deformations; it is used to generate high-quality Digital Elevation Models (DEMs). DEMs are a crucial and primary inpu...
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Erkan Türker, Emre Bulut, Arda Kahraman, Mehmet Çakici and Ferruh Öztürk
In this paper, an energy-management strategy based on fuel economy is presented to achieve a further range increase for range-extended light commercial vehicles. Estimation of the energy-management strategy was carried out using a neural-network-based su...
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Masoomeh Mirrashid, Hosein Naderpour, Denise-Penelope N. Kontoni, Anna Jakubczyk-Galczynska, Robert Jankowski and Tan N. Nguyen
This article presents a novel approach to estimate the flexural capacity of reinforced concrete-filled composite plate shear walls using an optimized computational intelligence model. The proposed model was developed and validated based on 47 laboratory ...
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George Tzougas and Konstantin Kutzkov
We developed a methodology for the neural network boosting of logistic regression aimed at learning an additional model structure from the data. In particular, we constructed two classes of neural network-based models: shallow?dense neural networks with ...
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Manh Hung Nguyen, Hoang Vu Dao and Kyoung Kwan Ahn
In this paper, a novel adaptive robust control (ARC) scheme is proposed for electro-hydraulic servo systems (EHSSs) with uncertainties and disturbances. All dynamic functions in system dynamics are effectively approximated by multi-layer radial basis fun...
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Alex Mouapi and Hatem Mrad
The work proposes a new approach to design autonomous wireless sensor network based on kinetic energy harvesting.
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Christian Pommer, Michael Sinapius, Marco Brysch and Naser Al Natsheh
Controlling complex systems by traditional control systems can sometimes lead to sub-optimal results since mathematical models do often not completely describe physical processes. An alternative approach is the use of a neural network based control algor...
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